Pooi See Lee

44.3k citations
479 papers · 37.3k indexed · 23 hit papers · h-index 105

Pooi See Lee

470 papers receiving 36.8k citations

Hit Papers

Encoding...472010202620152020250500750

Peers

Pooi See Lee
Comparison fields: 5 of 162
  • Polymers and Plastics 15.7k
  • Electronic, Optical and Magnetic Materials 11.8k
  • Biomedical Engineering 15.6k
  • Electrical and Electronic Engineering 19.0k
  • Materials Chemistry 9.2k
Replace Jun Zhou with:
Jun Zhou China
Huisheng Peng China
Xiaodong Chen Singapore
Guozhen Shen China
Ching‐Ping Wong United States
Ya Yang China
Hongzhi Wang China
Chenguo Hu China
Chuntai Liu China
Caofeng Pan China
Pooi See Lee relative to Jun Zhou China Jun Zhou's profile →
Citations per field
00.5×1.5×2.0×
Jun Zhou · 1×
Citations per year

Countries citing papers authored by Pooi See Lee

Since Specialization
Citations

This map shows the geographic impact of Pooi See Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pooi See Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooi See Lee more than expected).

Fields of papers citing papers by Pooi See Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pooi See Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pooi See Lee. The network helps show where Pooi See Lee may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Pooi See Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pooi See Lee Line = papers co-authored together Pooi See Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202513
2 20257
3 20258
4 20254
5 20251
6 20250
7
Encoding of multi-modal emotional information via personalized skin-integrated wireless facial interfacebreakdown →
202447
8 20246
9 202416
10 202413
11 20241
12 202368
13 202329
14 202333
15 202333
16 20232
17 20214
18 202181
19 201932
20
Recent progress in layered transition metal carbides and/or nitrides (MXenes) and their composites: synthesis and applicationsbreakdown →
2016680

About Pooi See Lee

Pooi See Lee is a scholar working on Polymers and Plastics, Electronic, Optical and Magnetic Materials and Biomedical Engineering, having authored 479 papers that have together received 37.3k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (162 papers), Conducting polymers and applications (140 papers), Supercapacitor Materials and Fabrication (88 papers), Transition Metal Oxide Nanomaterials (77 papers), Semiconductor materials and devices (57 papers), Advanced Memory and Neural Computing (50 papers), Semiconductor materials and interfaces (46 papers) and Gas Sensing Nanomaterials and Sensors (42 papers). The work is most often cited by research in Polymers and Plastics (15.7k citations), Electronic, Optical and Magnetic Materials (11.8k citations) and Biomedical Engineering (15.6k citations). Pooi See Lee has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Jiangxin Wang, Chaoyi Yan, Jingwei Chen, Kaushik Parida, Jiaqing Xiong, Afriyanti Sumboja, Chunzhong Li, Hao Jiang, Guofa Cai and Jan Ma.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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